Hi, I am Mitesh Chakma
Hello! I'm a Python developer at Turing, where I blend my love for coding with solving real-world problems. Beyond my work and pursuing a master's in software engineering at LUT University, I find joy in simple pleasures. Whether it's strategizing in Valorant, nurturing my aquarium, or losing myself in a book, I believe in the balance between digital creation and the timeless beauty of the natural world. I'm always on the lookout to learn and connect with fellow tech enthusiasts. Let's share knowledge, experiences, and perhaps, a laugh or two along the way.
Please click here to know more how we can connect!
Experiences
Python Developer
Turing · Full-time
Silicon Valley, California, United States · Remote
Software Engineer
Ferntech Solutions · Full-time
Software Engineer
SK JAPAN EXPORT CO. LTD · Contract
Trainee AI Engineer
Hiperdyne Corporation ハイパーダイン · Dhaka, Bangladesh
Used Tech Stacks
![Python Python](assets/img/python.png)
![Django Django](assets/img/django.png)
![JavaScript JavaScript](assets/img/js.png)
![CSS CSS](assets/img/css.png)
![HTML HTML](assets/img/html.png)
![numpy numpy](assets/img/numpy.png)
![jupyter jupyter](assets/img/jupyter.png)
![tensorflow tensorflow](assets/img/tensorflow.png)
Tools & Technologies
Python (sklearn, pandas, numpy, matplotlib, seaborn)
SQL (PostgreSQL, MySQL)
Version Control (Git, GitHub)
Containerization (Docker)
API Development and Integration
Continuous Integration/Continuous Deployment (CI/CD)
Publications
Determining Land Use and Land Cover Changes and Predicting the Growth of Dhaka, Bangladesh Using Remote Sensing and GIS Techniques
IOP Science · Mar 4, 2019
Read MoreDeveloping countries are experiencing a rapid growth in urbanization in recent decades. This study evaluates and observes various changes in the urban area of Dhaka, Bangladesh, using Landsat images and predicts future urban growth, vegetation, and water index for the year 2020.
Change Detection of the Sundarban Part of Bangladesh Using Remote Sensing and GIS Techniques with Machine Learning Algorithms
IAC · Oct 4, 2018
Read MoreThis study examines land cover changes in the Sundarbans, aiming to quantify changes and present the status of mangrove forests using Landsat data. It provides insights into deforestation rates and the impact of various factors on the Sundarbans' reserve forest area.